Enterprise AI Architect

GALA SOLUTIONS Co.; Canada; Remote; CAD 140,000 - 210,000; Full time

Job summary

GALA SOLUTIONS Co. is seeking an Enterprise AI Architect for a remote, contract engagement in Canada. The role focuses on shaping the enterprise AI reference architecture, governance, and delivery of AI solutions from concept to production.

You will partner with the AI CoE to translate business needs into scalable technical designs and establish strong MLOps practices. You will lead evaluation of platforms and models, ensure compliance with Canadian privacy standards, and guide CoE engineers and

Qualifications

• 10+ years in enterprise/solution architecture, with 3+ years on AI/ML in production.
• Hands-on GenAI/LLM experience with major providers.
• Strong knowledge of RAG, vector databases, prompt engineering, and agent frameworks.
• Experience with a major cloud platform (Azure, AWS, or GCP) and cloud-native architecture.
• Solid understanding of MLOps/LLMOps, CI/CD, containerization (Docker, Kubernetes), and IaC.
• Proficiency in Python and familiarity with Snowflake, Databricks, Spark.
• Working knowledge of AI governance, model risk, data privacy, and security.
• Excellent communication with technical teams and executives.
• Ability to work independently and collaboratively in a remote setting.

Responsibilities

• Define the enterprise AI reference architecture covering data, models, orchestration, security, and governance.
• Partner with AI CoE to translate business needs into technical designs.
• Design and oversee AI solutions including GenAI/LLM, RAG pipelines, and ML models.
• Establish MLOps/LLMOps practices for deployment, monitoring, versioning, lifecycle.
• Evaluate AI platforms, foundation models, and tooling (build vs. buy).
• Ensure AI solutions meet security, privacy, compliance, and Responsible AI standards (Canada).
• Integrate AI into ERP, CRM, data platforms and APIs.
• Create architecture docs and reusable accelerators for CoE.
• Provide guidance to CoE engineers, data scientists, and stakeholders.
• Present architecture decisions, roadmaps, and trade-offs to leadership.

Skills

Years in architecture

AI/ML production

GenAI/LLM

RAG

Vector databases

Prompt engineering

Agent frameworks

Cloud platforms

MLOps/LLMOps

CI/CD

Docker

Kubernetes

Infrastructure as code

Python

Snowflake

Databricks

Spark

AI governance

Model risk management

Data privacy

Security

Communication

Remote collaboration

Tools

OpenAI

Anthropic

Azure OpenAI

AWS Bedrock

Vertex AI

Job description

Job Title:, Enterprise AI Architect (Contract, Remote, Canada)

Location: Remote (Canada)

Employment Type: Contract (6-12 months, extension possible)

About the Role

We're looking for an Enterprise AI Architect to work alongside our clients in-house AI Center of Excellence (CoE), under shared leadership. You'll act as a senior technical partner to the CoE, shaping the architecture, standards, and delivery of enterprise AI solutions from concept through production. You'll bring outside perspective and hands-on expertise to accelerate how we design, build, and deploy AI-driven processes at scale.

What You'll Do

• Define the enterprise AI reference architecture covering data, models, orchestration, security, and governance
• Partner with the AI CoE to evaluate use cases, prioritize initiatives, and translate business needs into technical solution designs
• Design and oversee development of AI solutions, including GenAI/LLM applications, RAG pipelines, agentic workflows, and ML models
• Establish MLOps/LLMOps practices for deployment, monitoring, versioning, and lifecycle management
• Evaluate and recommend AI platforms, foundation models, vector databases, and tooling (build vs. buy)
• Ensure AI solutions meet security, privacy, compliance, and Responsible AI standards (including Canadian requirements such as PIPEDA)
• Integrate AI capabilities into existing enterprise systems (ERP, CRM, data platforms, APIs)
• Create architecture documentation, design patterns, and reusable accelerators for the CoE
• Provide technical guidance and mentorship to CoE engineers, data scientists, and business stakeholders.
• Present architecture decisions, roadmaps, and trade-offs to senior leadership

What You Bring

• 10+ years in solution/enterprise architecture, with 3+ years designing and delivering AI/ML solutions in production
• Hands-on experience with GenAI and LLMs (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, Google Vertex AI, or open-source models)
• Strong knowledge of RAG, vector databases, prompt engineering, agent frameworks, and evaluation methods
• Experience with a major cloud platform (Azure, AWS, or GCP) and cloud-native architecture
• Solid understanding of MLOps/LLMOps, CI/CD, containerization (Docker, Kubernetes), and infrastructure as code
• Proficiency in Python and familiarity with modern data engineering stacks (Snowflake, Databricks, Spark, etc.)
• Working knowledge of AI governance, model risk management, data privacy, and security best practices
• Excellent communication skills, with the ability to work with both technical teams and executives
• Proven ability to work independently and collaboratively with an internal team in a remote setting

Nice to Have

• Cloud or AI certifications (Azure AI Engineer, AWS ML Specialty, Google Professional ML Engineer, TOGAF)
• Experience setting up or advising an AI Center of Excellence
• Background in regulated industries (financial services, healthcare, insurance, public sector)
• Experience with enterprise automation platforms or agentic AI orchestration tools